Linear Systems Analysis Detailed Syllabus for B.Tech third year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.<\/p>\n
The detailed syllabus for Linear Systems Analysis B.Tech 2016-2017 (R16) third year second sem is as follows.<\/p>\n
B.Tech. III Year II Sem. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0L\/T\/P\/C
\nCourse Code:EE612PE \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 3\/0\/0\/3
\nPrerequisite: Mathematics \u2013 II & Network Theory<\/p>\n
Course Objectives:<\/strong><\/p>\n To develop ability to analyze linear systems and signals<\/p>\n To develop critical understanding of mathematical methods to analyze linear systems\u00a0and signals<\/p>\n Course Outcomes:<\/strong> After successfully completing this course, students will be able to:<\/p>\n UNIT-I: \u00a0State Variable Analysis:<\/strong> Choice of state variables in Electrical networks-Formulation of\u00a0state equations for Electrical networks Equivalent source method. Network topological\u00a0method – Solution of state equations-Analysis of simple networks with state variable\u00a0approach.<\/p>\n UNIT\u2013II:\u00a0Fourier Series and Fourier Transform Representation:<\/strong> Introduction, Trigonometric form\u00a0of Fourier series, Exponential form of Fourier series, Wave symmetry, Fourier integrals and\u00a0transforms, Fourier transform of a periodic function , Properties of Fourier Transform ,\u00a0Parseval\u2019s theorem , Fourier transform of some common signals, Fourier\u00a0transform relationship with Laplace Transform.\u00a0Applications of Fourier series and Fourier Transform Representation: Introduction,\u00a0Effective value, and average values of non sinusoidal periodic waves, currents, Power Factor,\u00a0Effects of harmonics, Application in Circuit Analysis, Circuit Analysis using Fourier Series.<\/p>\n UNIT \u2013 III: \u00a0Laplace Transform Applications:<\/strong> Application of Laplace transform Methods of Ananlysis\u00a0\u2013 Response of RL, RC, RLC Networks to Step, Ramp, and impulse functions, Shifting\u00a0Theorem \u2013 Convolution Integral \u2013 Applications\u00a0Testing of Polynomials: Elements of realisability – Hurwitz polynomials-positive real\u00a0functions-Properties-Testing-Sturm\u2019s Test, examples.\u00a0Network Synthesis: Network synthesis: Synthesis of one port LC networks-Foster and Cauer\u00a0methods-Synthesis of RL and RC one port networks-Foster and Cauer methods<\/p>\n\n